chore(spark): Refactor unit tests to follow standards

[priyank766]

What this PR does / why we need it:
This PR refactors the SparkClient unit tests in [kubeflow/spark/api/spark_client_test.py]
(kubeflow-sdk/kubeflow/spark/api/spark_client_test.py:0:0-0:0) to align with the standardized testing patterns used throughout the Kubeflow SDK.

Key changes include:

• Replaced individual test methods for initialization and session management with unified parametrized tests using @pytest.mark.parametrize.
• Utilized the TestCase dataclass and SUCCESS/FAILED constants from kubeflow.trainer.test.common for consistency across client test suites.
• Improved code maintainability and readability by reducing boilerplate mock setups and consolidating logic.

Which issue(s) this PR fixes:
Fixes #273

Checklist:

• Docs included if any changes are user facing

[google-oss-prow]

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[github-actions]

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[Copilot]

Pull request overview

Refactors the SparkClient unit tests to match the Kubeflow SDK’s standardized, parametrized TestCase pattern, reducing per-method boilerplate while keeping the same behavioral coverage targets.

Changes:

• Replaced individual initialization tests with a single @pytest.mark.parametrize-driven test_spark_client_init.
• Replaced session-management method tests with a single parametrized test_spark_client_session_management.
• Adopted TestCase plus SUCCESS/FAILED constants from kubeflow.trainer.test.common for consistency.

[astefanutti]

/retitle chore(spark): Refactor unit tests to follow standards

[astefanutti]

/ok-to-test

[astefanutti]

@priyank766 can you rebase your PR, the e2e test should be fixed after.

[priyank766]

@priyank766 can you rebase your PR, the e2e test should be fixed after.

Done @astefanutti

[andreyvelich]

This is resolved in: #293
/close

[google-oss-prow]

@andreyvelich: Closed this PR.

Details

In response to this:

This is resolved in: #293
/close

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